Combining Structural Descriptions and Image-based Representations for Image, Object, and Scene Recognition

被引：0
|
作者：
Do Huu, Nicolas [1 ]
Paquier, Williams [1 ]
Chatila, Raja [1 ]
机构：
[1] CNRS, LAAS, F-31077 Toulouse 4, France
来源：
19TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-05) | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Object and scene learning and recognition is a major issue in computer vision, in robotics and in cognitive sciences. This paper presents the principles and results of an approach which extracts structured view-based representations for multi-purpose recognition. The structures are hierarchical and distributed and provide for generalization and categorization. A tracking process enables to bind views over time and to link consecutive views. Scenes can also be recognized using objects as components. Illustrative results are presented.
引用
收藏
页码：1452 / 1457
页数：6
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